Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
This paper reports on the development of an innovative agent-mediated electronic marketplace, which is able to efficiently handle transportation transactions of various types. Soft...
Nikos I. Karacapilidis, Alexis Lazanas, Pavlos Mor...